2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) 2011
DOI: 10.1109/bibmw.2011.6112508
|View full text |Cite
|
Sign up to set email alerts
|

Detection of paroxysmal atrial fibrillation subjects based on circadian rhythm parameters of heart rate variability

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2012
2012
2012
2012

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 22 publications
0
2
0
Order By: Relevance
“…On the day of onset of PAF, CR of PAF subjects were affected and significantly different from those of NSR subjects. The CR parameters obtained from the non-episodic data for that day were used to detect PAF patients with an accuracy of 84.6% (Olemann & Kim, 2011). To obtain CR parameter patterns of HRV features, a non-linear curve-fitting method known as the Levenberg-Marquardt algorithm (Levenberg, 1944) was applied (Statgraphics Plus V4.1 Professional System®, Manugistics, Inc., Rockville, MD, USA) to each HRV feature set that consisted of at least six time-points which represents a time span of at least 6 h. The initial values for the regression were set by trial and error and were maintained constant for both the NSR and PAF group.…”
Section: Circadian Rhythm Analysismentioning
confidence: 99%
“…On the day of onset of PAF, CR of PAF subjects were affected and significantly different from those of NSR subjects. The CR parameters obtained from the non-episodic data for that day were used to detect PAF patients with an accuracy of 84.6% (Olemann & Kim, 2011). To obtain CR parameter patterns of HRV features, a non-linear curve-fitting method known as the Levenberg-Marquardt algorithm (Levenberg, 1944) was applied (Statgraphics Plus V4.1 Professional System®, Manugistics, Inc., Rockville, MD, USA) to each HRV feature set that consisted of at least six time-points which represents a time span of at least 6 h. The initial values for the regression were set by trial and error and were maintained constant for both the NSR and PAF group.…”
Section: Circadian Rhythm Analysismentioning
confidence: 99%
“…On the day of onset of PAF, CR of PAF subjects were affected and significantly different from those of NSR subjects. The CR parameters obtained from the non-episodic data for that day were used to detect PAF patients with an accuracy of 84.6% (Olemann & Kim, 2011).…”
Section: Circadian Rhythm Analysismentioning
confidence: 99%